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Category:
Language:
English
Total Size:
1.3 GB
Info Hash:
59EDEAD34C97B7BB2E3887E6E2A6835B1CC19C3F
Added By:
Added:
March 1, 2026, 8:40 a.m.
Stats:
|
(Last updated: March 1, 2026, 8:45 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 180 bytes |
| 001. Part 1. The building blocks of scalable computing.en.srt | 1.1 KB |
| 001. Part 1. The building blocks of scalable computing.mp4 | 1.8 MB |
| 002. Chapter 1. Why scalable computing matters.en.srt | 27.2 KB |
| 002. Chapter 1. Why scalable computing matters.mp4 | 71.8 MB |
| 003. Chapter 1. Cooking with DAGs.en.srt | 13.4 KB |
| 003. Chapter 1. Cooking with DAGs.mp4 | 20.2 MB |
| 004. Chapter 1. Scaling out, concurrency, and recovery.en.srt | 22.4 KB |
| 004. Chapter 1. Scaling out, concurrency, and recovery.mp4 | 49.8 MB |
| 005. Chapter 1. Introducing a companion dataset.en.srt | 2.7 KB |
| 005. Chapter 1. Introducing a companion dataset.mp4 | 6.7 MB |
| 006. Chapter 1. Summary.en.srt | 1.0 KB |
| 006. Chapter 1. Summary.mp4 | 3.2 MB |
| 007. Chapter 2. Introducing Dask.en.srt | 27.4 KB |
| 007. Chapter 2. Introducing Dask.mp4 | 48.9 MB |
| 008. Chapter 2. Visualizing DAGs.en.srt | 13.6 KB |
| 008. Chapter 2. Visualizing DAGs.mp4 | 29.3 MB |
| 009. Chapter 2. Task scheduling.en.srt | 10.4 KB |
| 009. Chapter 2. Task scheduling.mp4 | 23.6 MB |
| 010. Chapter 2. Summary.en.srt | 705 bytes |
| 010. Chapter 2. Summary.mp4 | 1.9 MB |
| 011. Part 2. Working with structured data using Dask DataFrames.en.srt | 2.1 KB |
| 011. Part 2. Working with structured data using Dask DataFrames.mp4 | 3.6 MB |
| 012. Chapter 3. Introducing Dask DataFrames.en.srt | 7.7 KB |
| 012. Chapter 3. Introducing Dask DataFrames.mp4 | 16.6 MB |
| 013. Chapter 3. Dask and Pandas.en.srt | 16.3 KB |
| 013. Chapter 3. Dask and Pandas.mp4 | 36.9 MB |
| 014. Chapter 3. Limitations of Dask DataFrames.en.srt | 5.9 KB |
| 014. Chapter 3. Limitations of Dask DataFrames.mp4 | 13.5 MB |
| 015. Chapter 3. Summary.en.srt | 902 bytes |
| 015. Chapter 3. Summary.mp4 | 2.3 MB |
| 016. Chapter 4. Loading data into DataFrames.en.srt | 34.8 KB |
| 016. Chapter 4. Loading data into DataFrames.mp4 | 78.0 MB |
| 017. Chapter 4. Reading data from relational databases.en.srt | 10.8 KB |
| 017. Chapter 4. Reading data from relational databases.mp4 | 19.7 MB |
| 018. Chapter 4. Reading data from HDFS and S3.en.srt | 10.8 KB |
| 018. Chapter 4. Reading data from HDFS and S3.mp4 | 20.8 MB |
| 019. Chapter 4. Reading data in Parquet format.en.srt | 7.7 KB |
| 019. Chapter 4. Reading data in Parquet format.mp4 | 14.9 MB |
| 020. Chapter 4. Summary.en.srt | 657 bytes |
| 020. Chapter 4. Summary.mp4 | 1.2 MB |
| 021. Chapter 5. Cleaning and transforming DataFrames.en.srt | 20.4 KB |
| 021. Chapter 5. Cleaning and transforming DataFrames.mp4 | 38.9 MB |
| 022. Chapter 5. Dealing with missing values.en.srt | 13.1 KB |
| 022. Chapter 5. Dealing with missing values.mp4 | 27.7 MB |
| 023. Chapter 5. Recoding data.en.srt | 8.7 KB |
| 023. Chapter 5. Recoding data.mp4 | 17.7 MB |
| 024. Chapter 5. Elementwise operations.en.srt | 7.8 KB |
| 024. Chapter 5. Elementwise operations.mp4 | 16.5 MB |
| 025. Chapter 5. Filtering and reindexing DataFrames.en.srt | 5.6 KB |
| 025. Chapter 5. Filtering and reindexing DataFrames.mp4 | 13.8 MB |
| 026. Chapter 5. Joining and concatenating DataFrames.en.srt | 11.3 KB |
| 026. Chapter 5. Joining and concatenating DataFrames.mp4 | 21.9 MB |
| 027. Chapter 5. Writing data to text files and Parquet files.en.srt | 6.6 KB |
| 027. Chapter 5. Writing data to text files and Parquet files.mp4 | 12.3 MB |
| 028. Chapter 5. Summary.en.srt | 1.7 KB |
| 028. Chapter 5. Summary.mp4 | 5.0 MB |
| 029. Chapter 6. Summarizing and analyzing DataFrames.en.srt | 24.6 KB |
| 029. Chapter 6. Summarizing and analyzing DataFrames.mp4 | 51.9 MB |
| 030. Chapter 6. Built-In aggregate functions.en.srt | 20.0 KB |
| 030. Chapter 6. Built-In aggregate functions.mp4 | 44.2 MB |
| 031. Chapter 6. Custom aggregate functions.en.srt | 37.9 KB |
| 031. Chapter 6. Custom aggregate functions.mp4 | 73.8 MB |
| 032. Chapter 6. Rolling (window) functions.en.srt | 14.0 KB |
| 032. Chapter 6. Rolling (window) functions.mp4 | 25.1 MB |
| 033. Chapter 6. Summary.en.srt | 1.2 KB |
| 033. Chapter 6. Summary.mp4 | 3.5 MB |
| 034. Chapter 7. Visualizing DataFrames with Seaborn.en.srt | 15.0 KB |
| 034. Chapter 7. Visualizing DataFrames with Seaborn.mp4 | 29.9 MB |
| 035. Chapter 7. Visualizing continuous relationships with scatterplot and regplot.en.srt | 13.0 KB |
| 035. Chapter 7. Visualizing continuous relationships with scatterplot and regplot.mp4 | 28.7 MB |
| 036. Chapter 7. Visualizing categorical relationships with violinplot.en.srt | 9.8 KB |
| 036. Chapter 7. Visualizing categorical relationships with violinplot.mp4 | 15.9 MB |
| 037. Chapter 7. Visualizing two categorical relationships with heatmap.en.srt | 7.0 KB |
| 037. Chapter 7. Visualizing two categorical relationships with heatmap.mp4 | 12.1 MB |
| 038. Chapter 7. Summary.en.srt | 1.3 KB |
| 038. Chapter 7. Summary.mp4 | 3.6 MB |
| 039. Chapter 8. Visualizing location data with Datashader.en.srt | 20.4 KB |
| 039. Chapter 8. Visualizing location data with Datashader.mp4 | 33.0 MB |
| 040. Chapter 8. Plotting location data as an interactive heatmap.en.srt | 8.0 KB |
| 040. Chapter 8. Plotting location data as an interactive heatmap.mp4 | 21.5 MB |
| 041. Chapter 8. Summary.en.srt | 876 bytes |
| 041. Chapter 8. Summary.mp4 | 2.3 MB |
| 042. Part 3. Extending and deploying Dask.en.srt | 2.0 KB |
| 042. Part 3. Extending and deploying Dask.mp4 | 3.5 MB |
| 043. Chapter 9. Working with Bags and Arrays.en.srt | 29.9 KB |
| 043. Chapter 9. Working with Bags and Arrays.mp4 | 53.2 MB |
| 044. Chapter 9. Transforming, filtering, and folding elements.en.srt | 20.0 KB |
| 044. Chapter 9. Transforming, filtering, and folding elements.mp4 | 40.2 MB |
| 045. Chapter 9. Building Arrays and DataFrames from Bags.en.srt | 5.5 KB |
| 045. Chapter 9. Building Arrays and DataFrames from Bags.mp4 | 11.0 MB |
| 046. Chapter 9. Using Bags for parallel text analysis with NLTK.en.srt | 13.4 KB |
| 046. Chapter 9. Using Bags for parallel text analysis with NLTK.mp4 | 31.9 MB |
| 047. Chapter 9. Summary.en.srt | 1.2 KB |
| 047. Chapter 9. Summary.mp4 | 3.7 MB |
| 048. Chapter 10. Machine learning with Dask-ML.en.srt | 21.9 KB |
| 048. Chapter 10. Machine learning with Dask-ML.mp4 | 60.5 MB |
| 049. Chapter 10. Evaluating and tuning Dask-ML models.en.srt | 16.2 KB |
| 049. Chapter 10. Evaluating and tuning Dask-ML models.mp4 | 44.3 MB |
| 050. Chapter 10. Persisting Dask-ML models.en.srt | 5.7 KB |
| 050. Chapter 10. Persisting Dask-ML models.mp4 | 9.1 MB |
| 051. Chapter 10. Summary.en.srt | 923 bytes |
| 051. Chapter 10. Summary.mp4 | 2.8 MB |
| 052. Chapter 11. Scaling and deploying Dask.en.srt | 57.8 KB |
| 052. Chapter 11. Scaling and deploying Dask.mp4 | 106.4 MB |
| 053. Chapter 11. Running and monitoring Dask jobs on a cluster.en.srt | 11.6 KB |
| 053. Chapter 11. Running and monitoring Dask jobs on a cluster.mp4 | 22.5 MB |
| 054. Chapter 11. Cleaning up the Dask cluster on AWS.en.srt | 4.4 KB |
| 054. Chapter 11. Cleaning up the Dask cluster on AWS.mp4 | 9.0 MB |
| 055. Chapter 11. Summary.en.srt | 1010 bytes |
| 055. Chapter 11. Summary.mp4 | 2.7 MB |
| Bonus Resources.txt | 70 bytes |
Name
DL
Uploader
Size
S/L
Added
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31.7 MB
[0
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2023-06-23
| Uploaded by FreeCourseWeb | Size 31.7 MB | Health [ 0 /0 ] | Added 2023-06-23 |
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2.8 MB
[17
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1]
2023-07-01
| Uploaded by FreeCourseWeb | Size 2.8 MB | Health [ 17 /1 ] | Added 2023-07-01 |
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9.6 MB
[10
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2023-06-22
| Uploaded by FreeCourseWeb | Size 9.6 MB | Health [ 10 /2 ] | Added 2023-06-22 |
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10.0 MB
[8
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2023-07-01
| Uploaded by FreeCourseWeb | Size 10.0 MB | Health [ 8 /0 ] | Added 2023-07-01 |
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9.3 MB
[10
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1]
2023-07-01
| Uploaded by FreeCourseWeb | Size 9.3 MB | Health [ 10 /1 ] | Added 2023-07-01 |
NOTE
SOURCE: Data Science with Python and Dask Video Edition
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COVER
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